adea_stepwise {adea}

Select an optimal subset of variables for DEA analysis

Description

Stepwise procedure for variable selection in DEA models.

Usage

adea_stepwise(
  input,
  output,
  orientation = c("input", "output"),
  load.orientation = c("inoutput", "input", "output"),
  name = "",
  direction = c("backward", "backward/input", "backward/output"),
  load.critical = 0.5,
  max.steps = ncol(input) + ncol(output) - 2,
  solver = "auto",
  verbose = 0
)

Arguments

input

A matrix or a data frame containing the inputs of the units to be evaluated, with one row for each DMU and one column for each input.

output

A matrix or a data frame containing the outputs of the units to be evaluated, with one row for each DMU and one column for each output.

orientation

Use "input" for input orientation or "output" for output orientation in DEA model. The default is "input".

load.orientation

This parameter allows the selection of variables to be included in load analysis. The default is "inoutput" which means that all input and output variables will be included. Use "input" or "output" to include only input or output variables in load analysis.

name

An optional descriptive name for the model. The default is an empty string. This name will be displayed in printed and summarized results.

direction

The direction in which the variables enter or exit the model. Currently, only the "backward" option is implemented.

load.critical

Minimum values for loads to consider that a variable should be considered in the model. It can be also a vector with two values, the first value input loads and the second for output loads.

max.steps

The maximum number of steps allowed.

solver

The solver used by ROI to solve the DEA optimization problem. The default is "auto." The solver must be installed and capable of solving linear programming problems. Use ROI_installed_solvers() to list them.

verbose

Use 0 for minimal output, displaying only the final model. Use 1 or higher values to get detailed information for each step. The default is 0. This option affects only the printed output and not the result.

Details

This function serves as a backend utility for variable selection in DEA models and is not intended for end-user use. It is used as part of the adea_hierarchical and adea_parametric functions.

This function performs a stepwise procedure for variable selection within DEA models.

Value

The function returns a DEA model with optimised set of variables.